GitHub / muhammad3245571106 / AI-searching-techniques-using-Python-and-Tkinter-for-graphical-user-interface

This is a Python project that uses Tkinter to develop the front end of the application and Python to implement AI searches. This has a cool graphical interface and visualization to make the project look aesthetic.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/muhammad3245571106%2FAI-searching-techniques-using-Python-and-Tkinter-for-graphical-user-interface
PURL: pkg:github/muhammad3245571106/AI-searching-techniques-using-Python-and-Tkinter-for-graphical-user-interface

Topics: astar-search-algorithm, best-first-search, bidirectional-search, breadth-first-search, collections-python, defaultdict, depth-first-search, depth-limited-search, graph-algorithms, heapq, iterative-deepening-search, matplotlib, matplotlib-backend, matplotlib-pyplot, networkx, python, tkinter, tkinter-graphic-interface, tkinter-ttk, uniform-cost-search

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• Readme
• Dependencies